Current Sensor Fault Diagnosis Based on a Sliding Mode Observer for PMSM Driven Systems

Sensors

Gang Huang³  Yi-Ping Luo³  Chang-Fan Zhang¹  Yi-Shan Huang²  Kai-Hui Zhao³ 

[1] College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China; E-Mail:;Hunan CSR Times Electric Vehicle Co., Ltd, Zhuzhou 412007, China; E-Mail:;School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China; E-Mails:

关键词: permanent magnet synchronous motor (PMSM);    extended flux linkage;    sliding mode observer (SMO);    current sensor;    fault diagnosis;   

DOI  :  10.3390/s150511027

来源: mdpi

【 摘 要 】

This paper proposes a current sensor fault detection method based on a sliding mode observer for the torque closed-loop control system of interior permanent magnet synchronous motors. First, a sliding mode observer based on the extended flux linkage is built to simplify the motor model, which effectively eliminates the phenomenon of salient poles and the dependence on the direct axis inductance parameter, and can also be used for real-time calculation of feedback torque. Then a sliding mode current observer is constructed in αβ coordinates to generate the fault residuals of the phase current sensors. The method can accurately identify abrupt gain faults and slow-variation offset faults in real time in faulty sensors, and the generated residuals of the designed fault detection system are not affected by the unknown input, the structure of the observer, and the theoretical derivation and the stability proof process are concise and simple. The RT-LAB real-time simulation is used to build a simulation model of the hardware in the loop. The simulation and experimental results demonstrate the feasibility and effectiveness of the proposed method.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.